• DocumentCode
    3417337
  • Title

    Designing a gestural interface for Mentor robot control

  • Author

    Dehbi, M. ; Ahmed Foitih, Z.

  • Author_Institution
    Electron. Dept., Univ. of Sci. & Technol. of Oran Mohamed BOUDIAF, Oran, Algeria
  • fYear
    2013
  • fDate
    29-31 Oct. 2013
  • Firstpage
    979
  • Lastpage
    983
  • Abstract
    In the field of Man-Machine interaction, gestural communication is expected to play a more and more important role due to its direct, natural character and its many potential uses. Our work has been chosen in the same context as robots control through gestural interfaces specifically using hand gesture. This article presents the different steps in the design of such a gestural servoing system, starting with hand gesture recognition through its interpretation in order to manipulate the Mentor robot (virtual and real), in real time. This gesture recognition system encompasses gesture acquisition, segmentation and identification using principal component analysis. Once the gesture has been recognized, it is operated to control the robot using two techniques: articular command and operational command.
  • Keywords
    gesture recognition; human-robot interaction; principal component analysis; robots; Mentor robot control; articular command; gestural communication; gestural interface; gestural servoing system; gesture acquisition; gesture identification; gesture recognition system; gesture segmentation; hand gesture; man-machine interaction; operational command; principal component analysis; Computers; Robots; Webcams;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control (ICSC), 2013 3rd International Conference on
  • Conference_Location
    Algiers
  • Print_ISBN
    978-1-4799-0273-6
  • Type

    conf

  • DOI
    10.1109/ICoSC.2013.6750976
  • Filename
    6750976